Ying-Ying Goh
- Infectious Diseases
- Public Health, Environmental and Occupational Health
- General Health Professions
- Biomedical Engineering
- Clinical Psychology
- Co-authors
- Matthew FeasterMark A. SchusterGery W. RyanLaura M. BogartJennifer Hawes-DawsonKimberly UyedaAlexander Viloria WinnettRustem F. Ismagilov
- Topics
- SARS-CoV-2 detection and testing (6 papers)SARS-CoV-2 and COVID-19 Research (5 papers)COVID-19 diagnosis using AI (3 papers)
- Cited by
- Modeling and SimulationInfectious DiseasesPublic Health, Environmental and Occupational Health
- Partner nations
- United States
In The Last Decade
Ying-Ying Goh
8 papers receiving 239 citations
Peers
Comparison fields: 5 of 68
- Infectious Diseases 103
- Public Health, Environmental and Occupational Health 81
- General Health Professions 65
- Biomedical Engineering 40
- Clinical Psychology 37
Countries citing papers authored by Ying-Ying Goh
This map shows the geographic impact of Ying-Ying Goh's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ying-Ying Goh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying-Ying Goh more than expected).
Fields of papers citing papers by Ying-Ying Goh
This network shows the impact of papers produced by Ying-Ying Goh. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ying-Ying Goh. The network helps show where Ying-Ying Goh may publish in the future.
Co-authorship network of co-authors of Ying-Ying Goh
This figure shows the co-authorship network connecting the top 25 collaborators of Ying-Ying Goh. A scholar is included among the top collaborators of Ying-Ying Goh based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ying-Ying Goh. Ying-Ying Goh is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 13 | |
| 4 | 4 | |
| 5 | 8 | |
| 6 | 7 | |
| 7 | 59 | |
| 8 | 47 | |
| 9 | 107 |
About Ying-Ying Goh
Ying-Ying Goh is a scholar working on Infectious Diseases, Modeling and Simulation and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 246 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (6 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and COVID-19 diagnosis using AI (3 papers). The work is most often cited by research in Modeling and Simulation (27 citations), Infectious Diseases (103 citations) and Public Health, Environmental and Occupational Health (81 citations). Ying-Ying Goh has collaborated with scholars based in United States. Frequent co-authors include Matthew Feaster, Mark A. Schuster, Gery W. Ryan, Laura M. Bogart, Jennifer Hawes-Dawson, Kimberly Uyeda, Alexander Viloria Winnett, Rustem F. Ismagilov, Reid Akana and Anna E. Romano. Their work appears in journals such as PLoS ONE, Journal of Clinical Microbiology and Emerging infectious diseases.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.